# Multivariate analysis of variance

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- The best choice is a set of DV’s correlated with one another, but not overly so.
- When there is little correlation among DV’s univariate F is acceptable.
- Unequal cell sizes and missing data are problematical for MANOVA.
- Low power can mean a non-significant multivariate effect but one or more significant Univariate F’s!

## Repeated-measures MANOVA[edit]

Extension of MANOVA, e.g., involving:

- Multiple DVs (e.g., Social, Campus, and Teaching/Education Satisfaction)
- Multiple Occasions (e.g., 1st, 2nd, 3rd year)
- Any number of IVs (e.g., Gender)
- Of interest are:
- Main effects of the multiple DVs
- Main effect of the multiple occasions
- Main effects of IVs
- Interactions b/w IVs and the DVs.

## See also[edit]

Search for on Wikipedia.Multivariate analysis of variance |